




"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


lowerCAmelCase				:     str					=				logging.get_logger(__name__)






class        __magic_name__				(			UpperCAmelCase__							):






				'''simple docstring'''





				def __init__(			self						,					*_a						,					**_a					):





							"""simple docstring"""
							warnings.warn(
							    """The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
							    """ use DonutImageProcessor instead."""						,					_a						,					)
							super().__init__(*_a						,					**_a					)









"""simple docstring"""




def        a__					(							)		->   int:
			return 1



def        a__					(							snake_case__							)		->   int:
			return 0 if x < 0 else two_pence(x - 2							) + one_pence()



def        a__					(							snake_case__							)		->   int:
			return 0 if x < 0 else five_pence(x - 5							) + two_pence(snake_case__							)



def        a__					(							snake_case__							)		->   int:
			return 0 if x < 0 else ten_pence(x - 10							) + five_pence(snake_case__							)



def        a__					(							snake_case__							)		->   int:
			return 0 if x < 0 else twenty_pence(x - 20							) + ten_pence(snake_case__							)



def        a__					(							snake_case__							)		->   int:
			return 0 if x < 0 else fifty_pence(x - 50							) + twenty_pence(snake_case__							)



def        a__					(							snake_case__							)		->   int:
			return 0 if x < 0 else one_pound(x - 1_00							) + fifty_pence(snake_case__							)



def        a__					(							snake_case__							)		->   int:
			return 0 if x < 0 else two_pound(x - 2_00							) + one_pound(snake_case__							)



def        a__					(							snake_case__ = 2_00							)		->   int:
			return two_pound(snake_case__							)


if __name__ == "__main__":
					print(solution(int(input().strip())))



